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Vangelis Sarlis, George Papageorgiou and Christos Tjortjis
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear...
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In Lee and George Mangalaraj
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics i...
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Daniel Amo, Pablo Gómez, Luis Hernández-Ibáñez and David Fonseca
Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing technologies at all levels. To achieve repres...
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Adriana Tiron-Tudor and Delia Deliu
The abundance of new innovative data sources creates opportunities and challenges for all professions and professionals working with information. One of these professionals is the management accountant (MA). Although their tasks have expanded over time a...
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Sai Hanuman Akundi,Soujanya R,Madhuri PM
Pág. pp. 19 - 32
In recent years vast quantities of data have been managed in various ways of medical applications and multiple organizations worldwide have developed this type of data and, together, these heterogeneous data are called big data. Data with other character...
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V. V. Petrov, O. P. Mintser, A. A. Kryuchyn, Ye. A. Kryuchyna
Pág. 50 - 61
Background. The analysis of the prospects for the use of visual analytics in clinical and experimental medicine, a healthcare, pharmacy and clinical research, primarily for processing Big Data, is presented. The analysis shows that visual analytics provi...
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Anara Indrany Nanda Ayu Anisa, Novita Novita
Pág. 34 - 45
Data analytics merupakan teknologi yang dapat digunakan baik untuk pencegahan maupun pendeteksian kecurangan termasuk kecurangan dalam laporan keuangan dimana tindakan yang mengarah pada kecurangan yang terjadi cenderung kompleks sehingga tidak dapat did...
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Iman I. M. Abu Sulayman, Peter Voege and Abdelkader Ouda
The increasing significance of data analytics in modern information analysis is underpinned by vast amounts of user data. However, it is only feasible to amass sufficient data for various tasks in specific data-gathering contexts that either have limited...
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Marc Löchner and Dirk Burghardt
Social media data are widely used to gain insights about social incidents, whether on a local or global scale. Within the process of analyzing and evaluating the data, it is common practice to download and store it locally. Considerations about privacy p...
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Dominik Molitor, Wullianallur Raghupathi, Aditya Saharia and Viju Raghupathi
While data breaches are a frequent and universal phenomenon, the characteristics and dimensions of data breaches are unexplored. In this novel exploratory research, we apply machine learning (ML) and text analytics to a comprehensive collection of data b...
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Ishamuddin Mustapha, Vichayanan Rattanawiboonsom, Ruankwan Intanon
Pág. pp. 21 - 37
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Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
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Joao Mesquitela, Luis B. Elvas, Joao C Ferreira and Luis Nunes
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities? infra-structures. In the context of smart city data is becoming available that allows a deeper analysis of the phenomenon. We propose a data fusion process...
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Xin Li, Liangyuan Wang, Jemal H. Abawajy, Xiaolin Qin, Giovanni Pau and Ilsun You
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Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ...
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Devon S. Johnson, Debika Sihi and Laurent Muzellec
This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence...
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Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models. On ...
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Milena Vuckovic and Johanna Schmidt
This study reflects on the quality aspects of urban meteorological time series obtained by crowdsourcing, specifically the air temperature and humidity data originating from personal weather stations (PWS) and the related implications for empirical and n...
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Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis and Spyros Sioutas
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can b...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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